Dan Popescu

2.1k citations
171 papers · 1.4k · h-index 18

Impact in

Papers in

Dan Popescu

156 papers receiving 1.3k citations

Peers

Dan Popescu
Comparison fields: 5 of 134
  • Computer Vision and Pattern Recognition 339
  • Computer Networks and Communications 342
  • Aerospace Engineering 271
  • Artificial Intelligence 218
  • Environmental Engineering 95
Replace Loretta Ichim with:
Loretta Ichim Romania
Xinyu Liu China
Meiling Wang China
Chengjin Zhang China
Shuteng Niu United States
Kai Yang China
Abdul Rahman Ramli Malaysia
Ji Li China
Zhou Fang China
Dan Popescu relative to Loretta Ichim Romania Loretta Ichim's profile →
Citations per field
00.5×3.7×
Loretta Ichim · 1×
Citations per year

Countries citing papers authored by Dan Popescu

Since Specialization
Citations

This map shows the geographic impact of Dan Popescu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Popescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Popescu more than expected).

Fields of papers citing papers by Dan Popescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Popescu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Popescu. The network helps show where Dan Popescu may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan Popescu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Popescu Line = papers co-authored together Dan Popescu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020174
2 201874
3 202249
4 201739
5 201537
6 202333
7 201831
8 202030
9
Medical images classification for skin cancer diagnosis based on combined texture and fractal analysis
201030
10 201928
11 199128
12 201326
13 201425
14 202125
15 201722
16 199121
17 201820
18 202319
19 200917
20 201516

About Dan Popescu

Dan Popescu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering and Radiology, Nuclear Medicine and Imaging, having authored 171 papers that have together received 1.4k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (26 papers), UAV Applications and Optimization (18 papers), Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (14 papers), Distributed Control Multi-Agent Systems (13 papers), Video Surveillance and Tracking Methods (12 papers), Smart Agriculture and AI (12 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (339 citations), Computer Networks and Communications (342 citations), Aerospace Engineering (271 citations), Artificial Intelligence (218 citations) and Environmental Engineering (95 citations). Dan Popescu has collaborated with scholars based in Romania, France and Canada. Frequent co-authors include Loretta Ichim, Grigore Stâmâtescu, Florin Stoican, Cristian Drăgana, Iulia Stamatescu, Radu Dobrescu, Ionela Prodan, N Angelescu, Mihaela Deaconu and Radu Tudor Ionescu. Their work appears in journals such as Sensors, Computers and Electronics in Agriculture, Frontiers in Plant Science, IEEE Access and Applied Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact